Find Out Where Your Training Pipeline Loses Students
Join the first AI-powered diagnostic study of US flight training. Share anonymized data from your school — get a free confidential report showing exactly where students drop off, why they leave, and whether your challenges are unique or industry-wide.
80%
National Dropout Rate
74.5%
Checkride Pass Rate (FAA)
$10.5B
Annual Revenue Lost to Dropout
Three steps. Answers you can't get anywhere else.
No industry diagnostic exists for flight training. Every school operates blind — unsure whether their retention challenges are unique or shared across the industry. This study gives you clarity.
Share your data
Export student start dates, completion status, and checkride outcomes from your scheduling software. We accept CSV, Excel, PDF, or even a summary email. No student names needed — anonymized IDs only.
We run the diagnostic
Our AI engine analyzes your training pipeline — identifying where students disengage, which training phases have the highest attrition, and whether your patterns match industry-wide trends or signal something specific to your program.
You get the report
A confidential 5-page PDF with a full pipeline diagnostic. Includes one AI-generated insight — a non-obvious pattern in your data that no consultant has ever shown you. Your results are private. No other school sees your data.
What your diagnostic report reveals
Five sections. Each one helps you understand your training pipeline — with anonymous industry context so you know whether a challenge is yours or everyone's.
Retention Pipeline Analysis
Where in your training pipeline do students drop off? Pre-solo, pre-checkride, or post-certificate? Your attrition pattern mapped against the national 80% dropout benchmark so you can see whether your leaks are typical or unusual.
Training Efficiency Diagnostic
How long does it take your students to reach their certificate? Your time-to-certificate and hours-to-certificate analyzed against national medians. Identifies whether delays are scheduling-driven, curriculum-driven, or student-driven.
Checkride Readiness Assessment
Your first-attempt pass rate analyzed in the context of the FAA national average (74.5%). If your rate diverges significantly, we identify which training phases correlate with checkride outcomes.
Instructor Load Impact
Is your student-to-CFI ratio affecting outcomes? Analysis of whether instructor workload correlates with student dropout or checkride performance at your school, with anonymous industry context.
AI-Generated Insight
One non-obvious pattern our AI identifies in your data — a hidden correlation between scheduling gaps, seasonal trends, instructor assignments, or training sequences and student outcomes. This is the section schools tell us is worth the entire study.
Answers that don't exist today
Flight schools have operated without diagnostics for decades. Here's what's available today versus what this study gives you.
| Question | Your Scheduling Software | FAA Public Data | This Study |
|---|---|---|---|
| Where do my students drop off? | You guess | Not tracked | Pipeline stage identified |
| Is my retention challenge unique or industry-wide? | No way to know | Not tracked | Industry context provided |
| Are my checkride results typical? | You guess | National avg only | Your rate analyzed in context |
| Does instructor workload affect my outcomes? | No way to know | Not tracked | Correlation analysis |
| What hidden patterns exist in my data? | Not possible | Not possible | AI-powered pattern detection |
| Do I have accreditation-ready outcome data? | Partial | — | Formatted for Part 141 reporting |
Where do my students drop off?
Is my retention challenge unique or industry-wide?
Are my checkride results typical?
Does instructor workload affect my outcomes?
What hidden patterns exist in my data?
Do I have accreditation-ready outcome data?
Your data is confidential. Period.
Your report is private. No school sees another school's data — ever. The industry context in your report comes from anonymized, aggregated patterns across all study participants. You'll understand where you stand, but nobody else will know.
We never collect student names.
All data uses anonymous IDs. We can't identify your students even if we wanted to.
Your school is never named in aggregates.
Cohort data is anonymized. No participant can reverse-engineer another school's metrics.
You can withdraw at any time.
Email us and we remove your data from the study completely. No questions, no friction.
Wondering what student dropout actually costs your school?
Our ROI calculator models exactly how much revenue walks out the door when students quit — and what recovering even a fraction of them would mean for your bottom line.
Calculate Your Dropout CostAnonymized on receipt
We never collect student names or contact information. All data is identified by anonymous IDs only. Your school name appears only in your own confidential report.
AES-256 encrypted
All data encrypted in transit and at rest using military-grade encryption. We follow the NIST Cybersecurity Framework. All data resides in the US.
You own your data
Your data is yours. We use anonymized aggregates for industry context, but your individual school data is never shared, sold, or disclosed. Withdraw at any time.
Get your free training pipeline diagnostic
Tell us about your school and we'll send you the data submission template. Your confidential report will be delivered within 14 days of receiving your data.
Every school has blind spots. This study finds yours.
No other diagnostic tool exists for flight training. This study gives you the data you need to understand your program and make informed decisions.